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Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning
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AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
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Transition Flow Matching
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Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents
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Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention
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Towards Next-Generation LLM Training: From the Data-Centric Perspective
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Training-Free Generation of Protein Sequences from Small Family Alignments via Stochastic Attention
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Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes
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Beyond Creed: A Non-Identity Safety Condition A Strong Empirical Alternative to Identity Framing in Low-Data LoRA Fine-Tuning
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GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
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Enhancing Hands in 3D Whole-Body Pose Estimation with Conditional Hands Modulator
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Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach
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DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning
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GNNVerifier: Graph-based Verifier for LLM Task Planning
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Loosely-Structured Software: Engineering Context, Structure, and Evolution Entropy in Runtime-Rewired Multi-Agent Systems
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Criterion-referenceability determines LLM-as-a-judge validity across physics assessment formats
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A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding
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Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
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Efficient Event Camera Volume System
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TrajMamba: An Ego-Motion-Guided Mamba Model for Pedestrian Trajectory Prediction from an Egocentric Perspective
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PHAC: Promptable Human Amodal Completion
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CAMD: Coverage-Aware Multimodal Decoding for Efficient Reasoning of Multimodal Large Language Models
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Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization
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Learning Constituent Headedness
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Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
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BrainBench: Exposing the Commonsense Reasoning Gap in Large Language Models
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Online Learning for Supervisory Switching Control
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LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
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Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations
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SSR: A Training-Free Approach for Streaming 3D Reconstruction
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Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments
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Understanding the geometry of deep learning with decision boundary volume
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POLCA: Stochastic Generative Optimization with LLM
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AnyPhoto: Multi-Person Identity Preserving Image Generation with ID Adaptive Modulation on Location Canvas
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OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence
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Zero-Shot Reconstruction of Animatable 3D Avatars with Cloth Dynamics from a Single Image
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HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
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$p^2$RAG: Privacy-Preserving RAG Service Supporting Arbitrary Top-$k$ Retrieval
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Vietnamese Automatic Speech Recognition: A Revisit
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High-Fidelity 3D Facial Avatar Synthesis with Controllable Fine-Grained Expressions
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Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA
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Orthogonal Subspace Clustering: Enhancing High-Dimensional Data Analysis through Adaptive Dimensionality Reduction and Efficient Clustering
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BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator
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Mind-of-Director: Multi-modal Agent-Driven Film Previsualization via Collaborative Decision-Making
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LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
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GARCH-FIS: A Hybrid Forecasting Model with Dynamic Volatility-Driven Parameter Adaptation
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Face-to-Face: A Video Dataset for Multi-Person Interaction Modeling
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Global Truncated Loss Minimization for Robust and Threshold-Resilient Geometric Estimation
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Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
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Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
